Intrinio’s fundamental data is powered by our proprietary machine learning technology, which helps us maintain a high level of quality while keeping costs low. Read on to learn how we process fundamentals, what’s included, and how you can test the data in our developer sandbox.
Read our Q&A with TYKR, an investment platform designed to make investing easier, smarter, and faster. We spoke to Sean Tepper, founder and CEO of TYKR, about what inspired him to start the company, how TYKR stands out among other investing tools, and partnering with Intrinio.
Welcome to part V of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. In this installment, you'll build on your existing strategy by learning how to rank stocks by their price-to-book ratio and selecting the top N stocks that are the cheapest based on this ratio.
Successful trading requires a great sense of analysis, high-quality financial data, and a programming language that makes the data work for you. If you're a Python beginner, join guest blogger Victor Montanez of Stock Market Moves as he shows you how to get started with trading in Python.
Remember playing in the sandbox as a kid? Endless hours of fun, exploration, and imagination. Well, the sandbox is now virtual. Intrinio provides a free sandbox environment to help developers explore our platform and tools. Here’s what you need to know about the Intrinio sandbox.
Leveraged ETFs enable investors to be exposed to a higher rate of risk with less capital. This seems like a great investment for young retail investors, who are risk seeking and have lots of time to reap the rewards of a high-risk investment. This couldn't be further from the truth.
Read our Q&A with Business Valuation Resources, LLC, the leading information provider to the business appraisal market. We spoke to Adam Manson, the Director of Valuation Data at BVR, about the company’s growth, what sets them apart, and why they chose to partner with Intrinio.
Join Stefan Winter of findstox.com as he dissects the last decade of share buybacks by major players within the airline industry and examines why those buybacks were needed to offset dilution during the great financial crisis of 2008, using Intrinio's financial data in R.
Welcome to part IV of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. In this installment, you'll learn how to complement price data with fundamentals from financial statements that publicly traded companies file with the SEC, all through the Intrinio Sandbox.
Meet Transparent Traders, whose Blackbox leverages sophisticated algorithms and predictive AI to locate accurate day or swing trades. We spoke to founder James Mason about the story behind Transparent Traders and the challenges and successes of supporting individual traders.